71 results on '"Chaoqun Zhan"'
Search Results
2. Weighted Distinct Sampling: Cardinality Estimation for SPJ Queries.
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Yuan Qiu 0002, Yilei Wang, Ke Yi 0001, Feifei Li 0001, Bin Wu 0003, and Chaoqun Zhan
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- 2021
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3. Does Belt and Road Initiative attract Cross Border M&As from other countries?
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Chaoqun Zhan, Hanxi Wang, and Chenxue Hou
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BELT & Road Initiative ,BORDER crossing ,PROPENSITY score matching ,COUNTRIES - Abstract
This article examines how the Belt and Road Initiative (BRI) affects Cross-Border M&As (CMAs) inflows to countries along the Belt and Road routes (BRI countries) from non-BRI countries. We conduct a difference-in-differences estimation with a control group constructed through propensity score matching. We find that the BRI significantly reduces CMAs from non-BRI countries to BRI countries. The results are robust to various concerns and specifications. We uncover two important mechanisms driving the results: the increased CMAs within BRI countries and the potential debt risks. We also find heterogeneous effects across countries. [ABSTRACT FROM AUTHOR]
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- 2024
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4. Deep Learning Methodology for Obtaining Ultraclean Pure Shift Proton Nuclear Magnetic Resonance Spectra
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Zhengxian Yang, Xiaoxu Zheng, Xinjing Gao, Qing Zeng, Chuang Yang, Jie Luo, Chaoqun Zhan, and Yanqin Lin
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General Materials Science ,Physical and Theoretical Chemistry - Published
- 2023
5. Learning-based query optimization for multi-probe approximate nearest neighbor search
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Pengcheng Zhang, Bin Yao, Chao Gao, Bin Wu, Xiao He, Feifei Li, Yuanfei Lu, Chaoqun Zhan, and Feilong Tang
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Hardware and Architecture ,Information Systems - Published
- 2022
6. The (Dis)Connection between R&D and Productivity in China: Policy Implications of R&D Tax Credits
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Qing Liu, Qiu Larry, Xing Wei, and Chaoqun Zhan
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History ,Polymers and Plastics ,Business and International Management ,Industrial and Manufacturing Engineering - Published
- 2023
7. Empowering Women: The Effect of FDI on Gender Education Inequality
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Rufei Guo, Xin Wang, and Chaoqun Zhan
- Published
- 2023
8. Cquirrel
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Feifei Li, Ke Yi, Qichen Wang, Chaoqun Zhan, Bin Wu, Danish Alsayed, and Chaoqi Zhang
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Information retrieval ,Computer science ,General Engineering ,InformationSystems_DATABASEMANAGEMENT - Abstract
We will demonstrate Cquirrel, a continuous query processing engine built on top of Flink. Cquirrel assumes a relational schema where the foreign-key constraints form a directed acyclic graph, and supports any selection-projection-join-aggregation query where all join conditions are between a primary key and a foreign key. It allows arbitrary updates to any of the relations, and outputs the deltas in the query answers in real-time. It provides much better support for multi-way joins than the native join operator in Flink. Meanwhile, it offers better performance, scalability, and fault tolerance than other continuous query processing engines.
- Published
- 2021
9. Antimicrobial activity of novel symmetrical antimicrobial peptides centered on a hydrophilic motif against resistant clinical isolates: in vitro and in vivo analyses
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Chaoqun Zhang, Le Fu, Yuan Zhu, Qigui Chen, Zetong Chen, Yung-Fu Chang, Yide Li, Mengjing Yao, Xinyi Huang, Li Jin, Xue Gao, Yiyu Zhang, Biao Jin, Shuli Chou, and Liang Luo
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antimicrobial peptides ,MRSA ,antibiotic resistance ,symmetric sequence ,Microbiology ,QR1-502 - Abstract
ABSTRACT Antibiotic resistance poses a significant public health threat worldwide. The rise in antibiotic resistance and the sharp decline in effective antibiotics necessitate the development of innovative antibacterial agents. Based on the central symmetric structure of glycine–serine–glycine, combined with tryptophan and arginine, we designed a range of antimicrobial peptides (AMPs) that exhibited broad-spectrum antibacterial activity. Notably, AMP W5 demonstrated a rapid and effective sterilization against methicillin-resistant Staphylococcus aureus (MRSA), displaying both a minimum inhibitory concentration and a minimum bactericidal concentration of 8 µM. Mechanistic studies revealed that AMP W5 killed bacterial cells by disrupting the cytoplasmic membrane integrity, triggering leakage of cell contents. AMP W5 also exhibited excellent biocompatibility in both in vitro and in vivo safety evaluations. AMP W5 treatment significantly reduced skin bacterial load in our murine skin infection model. In conclusion, we designed a novel centrosymmetric AMP representing a promising medical alternative to conventional antibiotics for treating MRSA infections.IMPORTANCEIncreasing antibiotic resistance and the paucity of effective antibiotics necessitate innovative antibacterial agents. Methicillin-resistant Staphylococcus aureus (MRSA) is a major pathogen causing bacterial infections with high incidence and mortality rates, showing increasing resistance to clinical drugs. Antimicrobial peptides (AMPs) exhibit significant potential as alternatives to traditional antibiotics. This study designed a novel series of AMPs, characterized by a glycine–serine–glycine-centered symmetrical structure, and our results indicated that AMP W5 exhibited a rapid and effective bactericidal effect against MRSA. AMP W5 also demonstrated excellent biocompatibility and a bactericidal mechanism that disrupted membrane integrity, leading to leakage of cellular contents. The notable reduction in skin bacterial load observed in mouse models reinforced the clinical applicability of AMP W5. This study provides a promising solution for addressing the increasing threat of antibiotic-resistant bacteria and heralds new prospects for clinical applications.
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- 2024
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10. AnalyticDB-V
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Feifei Li, Cai Yuanzhe, Lou Renjie, Sheng Wang, Chuangxian Wei, Chaoqun Zhan, and Bin Wu
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SQL ,business.industry ,Computer science ,Nearest neighbor search ,Interface (computing) ,General Engineering ,Cloud computing ,Unstructured data ,02 engineering and technology ,Semantics ,computer.software_genre ,Data type ,Analytics ,020204 information systems ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,Data mining ,business ,computer ,computer.programming_language - Abstract
With the explosive growth of unstructured data (such as images, videos, and audios), unstructured data analytics is widespread in a rich vein of real-world applications. Many database systems start to incorporate unstructured data analysis to meet such demands. However, queries over unstructured and structured data are often treated as disjoint tasks in most systems, where hybrid queries ( i.e. , involving both data types) are not yet fully supported. In this paper, we present a hybrid analytic engine developed at Alibaba, named AnalyticDB-V (ADBV), to fulfill such emerging demands. ADBV offers an interface that enables users to express hybrid queries using SQL semantics by converting unstructured data to high dimensional vectors. ADBV adopts the lambda framework and leverages the merits of approximate nearest neighbor search (ANNS) techniques to support hybrid data analytics. Moreover, a novel ANNS algorithm is proposed to improve the accuracy on large-scale vectors representing massive unstructured data. All ANNS algorithms are implemented as physical operators in ADBV, meanwhile, accuracy-aware cost-based optimization techniques are proposed to identify effective execution plans. Experimental results on both public and in-house datasets show the superior performance achieved by ADBV and its effectiveness. ADBV has been successfully deployed on Alibaba Cloud to provide hybrid query processing services for various real-world applications.
- Published
- 2020
11. Fully Exploiting the Power of 2D NMR J-Resolved Spectroscopy
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Yanqin Lin, Chaoqun Zhan, Qing Zeng, Chen Jinyong, and Zhong Chen
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Coupling constant ,Chemistry ,010401 analytical chemistry ,010402 general chemistry ,01 natural sciences ,Homonuclear molecule ,Spectral line ,0104 chemical sciences ,Analytical Chemistry ,Cascade ,Chemical physics ,Proton NMR ,Spectroscopy ,Multiplet ,Two-dimensional nuclear magnetic resonance spectroscopy - Abstract
Nuclear magnetic resonance (NMR) spectroscopy is a powerful analytical tool that enables one to study molecular properties and interactions. Homonuclear couplings provide valuable structural information but are often difficult to disentangle in crowded 1H NMR spectra where complex multiplets and signal overlap commonly exist. Multidimensional NMR experiments push the power of NMR to a new level by providing better signal dispersion. Among them, 2D J-resolved spectroscopy is widely used for multiplet analysis and the measurement of scalar coupling constants. Here, we present a new 2D J-resolved method, CASCADE, through which easier multiplet analysis and unambiguous measurement of specific coupling constants can be achieved at the same time, fully exploiting the power of 2D J-resolved spectroscopy. It is expected that this method may replace a conventional 2D J experiment in many cases, facilitating structural and configurational studies as well as chemical and biological analyses.
- Published
- 2020
12. FDI Inflows and Export Quality: Domestic Competition and Within-Firm Adjustment
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Qing Liu, Qiu Larry, and Chaoqun Zhan
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History ,Polymers and Plastics ,Business and International Management ,Industrial and Manufacturing Engineering - Published
- 2022
13. Predictors of improvement in left ventricular systolic function after catheter ablation in patients with persistent atrial fibrillation complicated with heart failure
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Xinliang Zhao, Xiaoqin Hu, Wei Bao, Shuo Huang, Fei Li, Chen Liu, Liqi Ge, Quan Zhang, Chaoqun Zhang, and Chengzong Li
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Atrial fibrillation ,Heart failure ,Tachycardiomyopathy ,Radiofrequency catheter ablation ,Left ventricular end-diastolic diameter ,Low voltage zones ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Abstract Aims The current management of patients with atrial fibrillation (AF) and concomitant heart failure (HF) remains a significant challenge. Catheter ablation (CA) has been shown to improve left ventricular ejection fraction (LVEF) in these patients, but which patients can benefit from CA is still poorly understood. The aim of our study was to determine the predictors of improved ejection fraction in patients with persistent atrial fibrillation (PeAF) complicated with HF undergoing CA. Methods and results A total of 435 patients with persistent AF underwent an initial CA between January 2019 and March 2023 in our hospital. We investigated consecutive patients with left ventricular systolic dysfunction (LVEF
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- 2024
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14. Weighted Distinct Sampling: Cardinality Estimation for SPJ Queries
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Ke Yi, Feifei Li, Yilei Wang, Bin Wu, Yuan Qiu, and Chaoqun Zhan
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050101 languages & linguistics ,SQL ,Theoretical computer science ,Selection (relational algebra) ,Computer science ,05 social sciences ,InformationSystems_DATABASEMANAGEMENT ,Sampling (statistics) ,02 engineering and technology ,Query optimization ,Relational operator ,Projection (relational algebra) ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,0501 psychology and cognitive sciences ,Cardinality (SQL statements) ,computer ,Computer Science::Databases ,computer.programming_language ,Complement (set theory) - Abstract
SPJ (select-project-join) queries form the backbone of many SQL queries used in practice. Accurate cardinality estimation of these queries is thus an important problem, with applications in query optimization, approximate query processing, and data analytics. However, this problem has not been rigorously addressed in the literature, despite the fact that cardinality estimation techniques of the three relational operators, selection, projection, and join, have each been extensively studied (but not when used in combination) in the past 30+ years. The major technical difficulty is that (distinct) projection seems to be difficult to combine with the other two operators when it comes to cardinality estimation. In this paper, we give the first formal study of cardinality estimation for SP queries. While it was studied in a prior work in 2001, there is no guarantee on its optimality. We define a class of algorithms, which we call weighted distinct sampling, for estimating SP query sizes, and show how to find a near-optimal sampling strategy that is away from the optimum only by a lower order term. We then extend it to handling SPJ queries, giving the first non-trivial solution for SPJ cardinality estimation. We have also performed an extensive experimental evaluation to complement our theoretical findings.
- Published
- 2021
15. Developing an annual building volume dataset at 1-km resolution from 2001 to 2019 in China
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Wenting Yan, Jianping Wu, Chaoqun Zhang, Xiuzhi Chen, Jiashun Ren, Zhenzhen Xiao, Ziyin Liao, Raffaele Lafortezza, Xueyan Li, and Yongxian Su
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Urbanization ,building volume ,time-series information ,China ,machine learning ,urban planning ,Mathematical geography. Cartography ,GA1-1776 - Abstract
ABSTRACTUrban vertical features are crucial for understanding urban morphology. However, long-term information on three-dimensional buildings, which are important fundamental data for studying on the historical urbanization processes, remains scarce in China. In this study, we proposed a Random Forest model to generate an annual 1-km resolution building volume dataset covering mainland China from 2001 to 2019, by integrating the nighttime light data, population demographics, electricity consumption records, carbon dioxide emissions data, and various optical and statistical datasets. This new building volume data are highly consistent with that derived from Baidu Maps on 1-km scale, with Pearson’s correlation coefficient (R) of 0.847, root mean square error (RMSE) of 9.17 × 105 m3/km2 and mean absolute error (MAE) of 5.86 × 105 m3/km2. Notably, cross-validation indicate that the blooming problem was greatly improved when compared with previous model-based building three-dimensional data. The proposed method holds significant advantages, benefiting form low-cost implementation based on free open-source data and providing extendable algorithm to estimate the 3D shape of cities in the future. The time-series historical building volume data offer comprehensive insights into the historical development of urban structures, and provide valuable fundmental data for future urban planning, urban climate models and land use projections.
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- 2024
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16. AnalyticDB
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Chengliang Chai, Feifei Li, Chaoqun Zhan, Maomeng Su, Yue Pan, Xiaoqiang Peng, Chuangxian Wei, Liang Lin, Sheng Wang, Fang Zheng, and Chen Zhe
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SQL ,Database ,Computer science ,business.industry ,Online analytical processing ,Concurrency ,General Engineering ,020207 software engineering ,Cloud computing ,02 engineering and technology ,computer.software_genre ,Asynchronous communication ,020204 information systems ,0202 electrical engineering, electronic engineering, information engineering ,Overhead (computing) ,Queries per second ,Latency (engineering) ,business ,computer ,computer.programming_language - Abstract
With data explosion in scale and variety, OLAP databases play an increasingly important role in serving real-time analysis with low latency (e.g., hundreds of milliseconds), especially when incoming queries are complex and ad hoc in nature. Moreover, these systems are expected to provide high query concurrency and write throughput, and support queries over structured and complex data types (e.g., JSON, vector and texts). In this paper, we introduce AnalyticDB, a real-time OLAP database system developed at Alibaba. AnalyticDB maintains all-column indexes in an asynchronous manner with acceptable overhead, which provides low latency for complex ad-hoc queries. Its storage engine extends hybrid row-column layout for fast retrieval of both structured data and data of complex types. To handle large-scale data with high query concurrency and write throughput, AnalyticDB decouples read and write access paths. To further reduce query latency, novel storage-aware SQL optimizer and execution engine are developed to fully utilize the advantages of the underlying storage and indexes. AnalyticDB has been successfully deployed on Alibaba Cloud to serve numerous customers (both large and small). It is capable of holding 100 trillion rows of records, i.e., 10PB+ in size. At the same time, it is able to serve 10m+ writes and 100k+ queries per second, while completing complex queries within hundreds of milliseconds.
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- 2019
17. An analysis of the China–US trade war through the lens of the trade literature
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Larry D. Qiu, Chaoqun Zhan, and Xing Wei
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Commercial policy ,Trade war ,Economics and Econometrics ,Sociology and Political Science ,business.industry ,Political Science and International Relations ,Economics ,International trade ,business ,China ,Through-the-lens metering - Abstract
The current China–US trade war that started in early 2018 has been the largest of this kind in the global market in the past half century, if not longer. Many speculations about the reasons for and...
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- 2019
18. Raining-inspired method for construction of porous film material
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Xiaomin Wang, Heyi Pan, Lin Lian, Xiangjun Gong, Yang Wang, and Chaoqun Zhang
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Raining boxing method ,Breath figure method ,Water droplet template ,Polymer film ,Micropore structure ,Science (General) ,Q1-390 - Abstract
The low-temperature environment caused by solvent evaporation leads to the condensation of water vapor into water droplets that remain on the surface of the film to form breath figure patterns. The conventional approach to regulate the pore morphology in the breath figure process is to optimize the ambient temperature, humidity, and solution concentration. However, realizing a wide adjustable window of pore size and uniform distribution of the pore are still challenges. Here, inspired by the rainfall phenomenon, we proposed a simple and efficient method called the “raining boxing method” (RBM) for preparing porous films based on exogenously given water droplets as templates. The RBM broadened the adjustable window of pore size (0.6–225 µm in this work) and solved the inherent problem of radial reduction of pore size from the film center to the edge caused by the significant difference in low-temperature duration at different locations accompanying the solvent evaporation process. Furthermore, this method could realize multi-types porous films, including surface porous films, spongy porous films, and honeycomb porous films, and could be universally applied in the casting process of various polymer solutions.
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- 2024
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19. Unambiguous and accurate measurement of scalar coupling constants through a selective refocusing NMR experiment
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Zhong Chen, Chaoqun Zhan, Xi Dong, Qing Zeng, Yanqin Lin, and Chen Jinyong
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Proton ,Chemistry ,010401 analytical chemistry ,Spectrum (functional analysis) ,02 engineering and technology ,021001 nanoscience & nanotechnology ,01 natural sciences ,Biochemistry ,Molecular physics ,Spectral line ,0104 chemical sciences ,Analytical Chemistry ,Scalar coupling ,Excited state ,Environmental Chemistry ,Coherence (signal processing) ,Molecule ,0210 nano-technology ,Spectroscopy - Abstract
Scalar coupling plays an important role in the analysis of molecular structure and dynamics. A great number of nuclear magnetic resonance (NMR) selective refocusing experiments, such as 2D G-SERF and PSYCHEDELIC, were developed to extract scalar coupling constants involving a selected proton from overlapped spectra. However, intense axial peaks occur in this type of experiments, leading to possible ambiguity in the assignment of spectral peaks and subsequent accurate measurement of 1H–1H scalar coupling constants. Here, a method based on selective coherence transfer and PSYCHEDELIC module is designed to acquire absorption-mode selective refocusing spectrum while suppressing intense axial peaks. Therefore, unambiguous and accurate measurement of scalar coupling constants involving the selectively excited proton can be achieved. The performances of the proposed method are demonstrated on several samples.
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- 2021
20. Improvement in Signal-to-Noise Ratio of Liquid-State NMR Spectroscopy via a Deep Neural Network DN-Unet
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Qing Zeng, Jie Luo, Yanqin Lin, Zhong Chen, Chen Jinyong, Xi Dong, Ke Wu, and Chaoqun Zhan
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Artificial neural network ,Chemistry ,business.industry ,Deep learning ,Noise reduction ,010401 analytical chemistry ,Nuclear magnetic resonance spectroscopy ,010402 general chemistry ,01 natural sciences ,Convolutional neural network ,Noise (electronics) ,0104 chemical sciences ,Analytical Chemistry ,Signal-to-noise ratio ,Sensitivity (control systems) ,Artificial intelligence ,business ,Algorithm - Abstract
Nuclear magnetic resonance (NMR) is one of the most powerful analytical tools and is extensively applied in many fields. However, compared to other spectroscopic techniques, NMR has lower sensitivity, impeding its wider applications. Using data postprocessing techniques to increase the NMR spectral signal-to-noise ratio (SNR) is a relatively simple and cost-effective method. In this work, a deep neural network, termed as DN-Unet, is devised to suppress noise in liquid-state NMR spectra to enhance SNR. It combines structures of encoder-decoder and convolutional neural network. Different from traditional deep learning training strategy, M-to-S strategy is developed to enhance DN-Unet capability that multiple noisy spectra (inputs) correspond to a same single noiseless spectrum (label) in the training stage. The trained 1D model can be used for denoising not only 1D but also high dimension spectra, further improving DN-Unet's performance. 1D, 2D, and 3D NMR spectra were utilized to evaluate DN-Unet performance. The results suggest that DN-Unet provides larger than 200-fold increase in SNR with weak peaks hidden in noise perfectly recovered and spurious peaks suppressed well. Since DN-Unet developed here to increase SNR is based on data postprocessing, it is universal for a variety of samples and NMR platforms. The great SNR enhancement and extreme excellence in differentiating signal and noise would greatly promote various liquid-state NMR applications.
- Published
- 2020
21. Self-assembly of H2S-responsive nanoprodrugs based on natural rhein and geraniol for targeted therapy against Salmonella Typhimurium
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Lu Han, Tao Zang, Lulu Tan, Dunsheng Liang, Tengfei Long, Xuwei Liu, Xiaofan Shen, Hao Ren, ZhiPeng Li, Zhaoxiang Lu, Shengqiu Tang, Xiaoping Liao, Yahong Liu, Chaoqun Zhang, and Jian Sun
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Rhein ,Geraniol ,PPRG ,Self-assembly ,H2S-responsive nanoprodrugs ,Salmonella infection ,Biotechnology ,TP248.13-248.65 ,Medical technology ,R855-855.5 - Abstract
Abstract Salmonellosis is a globally extensive food-borne disease, which threatens public health and results in huge economic losses in the world annually. The rising prevalence of antibiotic resistance in Salmonella poses a significant global concern, emphasizing an imperative to identify novel therapeutic agents or methodologies to effectively combat this predicament. In this study, self-assembly hydrogen sulfide (H2S)-responsive nanoprodrugs were fabricated with poly(α-lipoic acid)-polyethylene glycol grafted rhein and geraniol (PPRG), self-assembled into core–shell nanoparticles via electrostatic, hydrophilic and hydrophobic interactions, with hydrophilic exterior and hydrophobic interior. The rhein and geraniol are released from self-assembly nanoprodrugs PPRG in response to Salmonella infection, which is known to produce hydrogen sulfide (H2S). PPRG demonstrated stronger antibacterial activity against Salmonella compared with rhein or geraniol alone in vitro and in vivo. Additionally, PPRG was also able to suppress the inflammation and modulate gut microbiota homeostasis. In conclusion, the as-prepared self-assembly nanoprodrug sheds new light on the design of natural product active ingredients and provides new ideas for exploring targeted therapies for specific Enteropathogens. Graphical Abstract Graphical illustration for construction of self-assembly nanoprodrugs PPRG and its antibacterial and anti-inflammatory activities on experimental Salmonella infection in mice
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- 2023
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22. The Marine-Origin Exopolysaccharide-Producing Bacteria Micrococcus Antarcticus HZ Inhibits Pb Uptake in Pakchoi (Brassica chinensis L.) and Affects Rhizosphere Microbial Communities
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Nan Liu, Gangrui Zhang, Longyu Fang, Rui Geng, Shengbo Shi, Jinghua Li, Wei Wang, Mingchun Lin, Junfeng Chen, Yanru Si, Zeyun Zhou, Baoli Shan, Maoyu Men, Qisheng Fan, Chengze Wang, Chaoqun Zhang, and Lujiang Hao
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marine bacteria ,exopolysaccharides (EPSs) ,bioremediation ,Pb-immobilizing ,heavy-metal-contaminated soil ,bacterial community ,Biology (General) ,QH301-705.5 - Abstract
Exopolysaccharides (EPSs) produced by microorganisms play an important role in biotolerance and reducing heavy metal (HM) contamination by limiting the migration of HMs into plants. However, research on the application of EPS-producing marine bacteria for soil heavy metal remediation remains limited, particularly regarding their mechanisms of HM immobilization in soil and impact on plant growth. In this study, the EPS-producing marine bacterium Micrococcus antarcticus HZ was investigated for its ability to immobilize Pb and produce EPSs in soil filtrate. The effects on the growth quality and biomass of pakchoi (Brassica chinensis L.), as well as bacterial communities in inter-root soil contaminated with Pb, were also investigated. The results indicated that HZ could reduce the Pb concentration in the soil filtrate, achieving a removal rate of 43.25–63.5%. The EPS content and pH levels increased in the presence of Pb. Pot experiments showed that adding HZ significantly increased the biomass of pakchoi (9.45–14.69%), vitamin C (Vc) (9.69–12.92%), and soluble protein content (22.58–49.7%). HZ reduced the Pb content in the roots (17.52–47.48%) and leaves (edible tissues) (43.82–52.83%) of pakchoi. HZ increased soil enzyme activities (alkaline phosphatase, dehydrogenase, and urease), and the contents of ammonium nitrogen and nitrate nitrogen. Additionally, HZ also increased the relative abundance of beneficial bacteria (e.g., Proteobacteria, Cyanobacteria, and Chlorobacteria) in the inter-root soil, which have prophylactic and heavy-metal fixation functions. In summary, HZ reduces effective Pb content in edible tissues, roots, and inter-root soil by regulating inter-root soil microbial community structure, increasing soil pH, nitrogen content, and soil enzyme activity, and altering dominant phylum abundance.
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- 2024
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23. A simple data post-processing method for axial peaks free 2D PSYCHEDELIC NMR spectra
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Chuang Yang, Xi Dong, Chaoqun Zhan, Qing Zeng, Chen Jinyong, Zhong Chen, and Yanqin Lin
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Physics ,Nuclear and High Energy Physics ,Resolution (mass spectrometry) ,Proton ,Spectrum (functional analysis) ,Biophysics ,010402 general chemistry ,Condensed Matter Physics ,01 natural sciences ,Biochemistry ,Molecular physics ,Homonuclear molecule ,030218 nuclear medicine & medical imaging ,0104 chemical sciences ,NMR spectra database ,03 medical and health sciences ,0302 clinical medicine ,Chirp ,Molecule ,Excitation - Abstract
Homonuclear scalar coupling plays an important role in the elucidation of molecular structure and dynamics. However, complex multiplets due to 1H-1H scalar coupling splittings complicate the assignment of peaks in overcrowded spectral regions. Although many methods focusing on disentangling couplings have been proposed in recent years, some defects like intense axial peaks and dispersive components still exist. Herein, a simple data post-processing method based on the interleaved acquisition mode PSYCHEDELIC (Pure Shift Yielded by CHirp Excitation to DELiver Individual Couplings) is designed to acquire absorption-mode 2D J spectrum while eradicating axial peaks. This approach provides a high resolution and pure absorptive spectrum, permitting unambiguous and accurate measurement of scalar coupling constants involving a given proton.
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- 2020
24. Two essays in international trade
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Chaoqun Zhan
- Published
- 2020
25. Fully Exploiting the Power of 2D NMR
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Qing, Zeng, Jinyong, Chen, Chaoqun, Zhan, Yanqin, Lin, and Zhong, Chen
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Magnetic Resonance Spectroscopy ,Reference Standards - Abstract
Nuclear magnetic resonance (NMR) spectroscopy is a powerful analytical tool that enables one to study molecular properties and interactions. Homonuclear couplings provide valuable structural information but are often difficult to disentangle in crowded
- Published
- 2020
26. PE-SERF: A sensitivity-improved experiment to measure J
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Chaoqun, Zhan, Qing, Zeng, Jinyong, Chen, Yanqin, Lin, and Zhong, Chen
- Abstract
Aiming at facilitating the analysis of molecular structure, the gradient-encoded selective refocusing methods (G-SERF) and a great number of its variants for measuring proton-proton coupling constants have been proposed. However, the sensitivity is an issue in the 2D gradient-encoded experiments, because the signal intensity is determined by the slice thickness of the sample that depends on encoding gradient and the bandwidth of selective pulses which is limited by the smallest chemical shift difference of any two coupled protons. Here, we present a method dubbed PE-SERF (perfect echo selective refocusing) which can determine all J
- Published
- 2019
27. Procedural Justice or Procedural Excuse?: Strategic Adjudication of Eminent Domain Cases in High People’s Courts
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Shitong Qiao and Chaoqun Zhan
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Law ,Political science ,Procedural justice ,Eminent domain ,Excuse ,Rule of law ,Adjudication - Published
- 2019
28. The nexus between (re)production of space and economic resilience: An analysis of Chinese cities
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Chaoqun Zhan, Roger C.K. Chan, and Xin Mai
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Resource (biology) ,business.industry ,media_common.quotation_subject ,05 social sciences ,0211 other engineering and technologies ,0507 social and economic geography ,021107 urban & regional planning ,02 engineering and technology ,Investment (macroeconomics) ,Urban Studies ,Local government ,Economic geography ,Psychological resilience ,Robustness (economics) ,business ,050703 geography ,Nexus (standard) ,Tertiary sector of the economy ,Built environment ,media_common - Abstract
The uneven geography of economic resilience is generally considered to be dependent on local-specific attributes such as economic structure, human actions, and institutional arrangements. Going beyond these internal attributes, this study draws insights from Harvey's spatial fix concept and explores the impact of the (re)production of space on economic resilience across 285 prefectural-level cities in China in relation to the economic crisis of 2008. Economic resilience was measured by the cities' resistance to decline during the crisis period (2007–2009) and its recoverability in the period immediately afterwards (2009–2016). For each period, we used regression models to assess the relative impact of fixed-asset investment, economic structure, and local government spending on the cities' economic resistance or recoverability. The (re)production of space, as measured by fixed-asset investment in urban space, was found to have a consistently positive and significant effect on economic resilience across the cities. In addition, the manufacturing sector showed a positive and significant effect on the cities' resistance to decline whereas the service sector was key to their recoverability during the post-crisis period. Our analysis extends the perception of space in regional resilience by corroborating the proposition that the built environment can serve as a resource system for sustained and resilient growth. The robustness test confirmed that the spatial-fix effect on economic resilience was consistently significant across Chinese cities regardless of spatial and temporal variations in local contexts.
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- 2021
29. An rVPM-Based Aerodynamic Hybrid Optimization Method for Coaxial Rotor with Differentiated Upper and Lower Blades in Both Hover and High-Speed Cruising States
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Zhiwei Ding, Dengyan Duan, Chaoqun Zhang, and Jianbo Li
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aerodynamic design ,design optimization ,coaxial rotor ,rotor design ,vortex particle method ,Motor vehicles. Aeronautics. Astronautics ,TL1-4050 - Abstract
To enhance the performance of rigid coaxial rotors across both hovering and high-speed cruising conditions, this study develops a novel aerodynamic optimization method that differentiates between the upper and lower rotors. Utilizing the lifting line and reformulated viscous vortex particle method (rVPM), this approach models the complex wake fields of coaxial rotors and accurately assesses the aerodynamic loads on the blades. The optimization of geometric properties such as planform configuration and nonlinear twist is conducted through an innovative solver that integrates simulated annealing with the Nelder–Mead algorithm, ensuring both rapid and comprehensive optimization results. Comparative analyses demonstrate that these tailored geometric adjustments significantly enhance efficiency in both operational states, surpassing traditional methods. This research provides a strategic framework for addressing the varied aerodynamic challenges presented by different flight states in coaxial rotor design.
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- 2024
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30. Semi-Solid Forging Process of Aluminum Alloy Connecting Rods for the Hydrogen Internal Combustion Engine
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Yongfei Wang, Hong Jiang, Mengjiao Zhang, Chaoqun Zhang, Shengdun Zhao, Ding Ding, and Yi Guo
- Subjects
hydrogen energy ,hydrogen internal combustion engine ,aluminum alloy connecting rod ,semi-solid forging forming ,microstructure ,mechanical property ,Technology ,Engineering (General). Civil engineering (General) ,TA1-2040 ,Biology (General) ,QH301-705.5 ,Physics ,QC1-999 ,Chemistry ,QD1-999 - Abstract
As an important piece of equipment for hydrogen energy application, the hydrogen internal combustion engine is helpful for the realization of zero carbon emissions, where the aluminum connecting rod is one of the key core components. A semi-solid forging forming process for the 7075 aluminum alloy connecting rod is proposed in this work. The influence of process parameters, such as the forging ratio, sustaining temperature, and duration time, on the microstructures of the semi-solid blank is experimentally investigated. The macroscopic morphology, metallographic structure, and physical properties of the connecting-rod parts are analyzed. Reasonable process parameters for preparing the semi-solid blank are obtained from the experimental results. Under the reasonable parameters, the average grain size is 41.48~42.57 μm, and the average shape factor is 0.80~0.81. The yield strength and tensile strength improvement ratio of the connecting rod produced by the proposed process are 47.07% and 20.89%, respectively.
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- 2024
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31. Pathogenicity Differences and Comparative Analysis of Genomes Between Two Ralstonia solanacearum Strains
- Author
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Chengwei GUAN, Liwei HU, Xiaohu FENG, Chaoqun ZHANG, Yanmin QIN, Zhigao ZHANG, and Libing WANG
- Subjects
ralstonia solanacearum ,sequevar ,pathogenicity ,genes sequencing ,lectin protein ,Agriculture - Abstract
【Objective】The pathogenicity and genomic differences between two Ralstonia solanacearum strains were compared to analyze the key genes leading to the differences, and help the control of tobacco bacterial wilt disease in the future.【Method】Different R. solanacearum strains were isolated and purified from tobacco plants infected with bacterial wilt disease. The infestation tests were conducted to compare pathogenicity differences and the genomes of two strains were obtained by high-throughput sequencing technique to analyze the sequence difference, to explore the key genes affecting the pathogenicity of the strains.【Result】Two strains RsTP2 and RsTY2 were isolated from diseased tobacco plants in Guangchang county and Nanfeng county of Fuzhou, Jiangxi Province. egl gene sequencing results revealed that both strains were sequevar 13 belonged to Asian phylotype I. The infestation test results indicated that strain RsTP2 was more aggressive to Yunyan87 tobacco plants, in contrast to less pathogenicity of strain RsTY2. Draft genome maps of strains RsTP2 and RsTY2 (5.43 MB and 5.23 MB, respectively) were obtained by high-throughput sequencing technique. Then, the gene and protein sequences were compared with relevant databases to obtain gene function and species annotation information. Through analysis, it was found that 52 proteins of RsTY2 and 44 proteins of RsTP2 were different in the alignment with similarity between 50% and 99.88%. Most of the differential proteins were lectin-like protein, followed by cytolysin secretory activator protein and perforin family protein【Conclusion】By comparing the genomic sequences of strains RsTP2 and RsTY2 with different pathogenicity, it was found that there were significant differences in the coding sequences of lectin-like protein, cytolysin secretory activator protein and perforin family protein. These proteins mainly participated in bacterial adhesion, membrane lysis and penetration, and other functions, which were closely related to the ability of bacteria to invade host cells. The differences in these types of coding proteins are speculated to be one of the important factors leading to the differences in pathogenicity in strains RsTP2 and RsTY2.
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- 2023
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32. Seasonal and long-term dynamics in forest microclimate effects: global pattern and mechanism
- Author
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Chaoqun Zhang, Yongxian Su, Liyang Liu, Jianping Wu, Guangqing Huang, Xueyan Li, Chongyuan Bi, Wenting Yan, and Raffaele Lafortezza
- Subjects
Environmental sciences ,GE1-350 ,Meteorology. Climatology ,QC851-999 - Abstract
Abstract Although the biophysical effects of afforestation or deforestation on local climate are recognized, the biophysical consequences of seasonal and long-term dynamics in forests on understory microclimate, which creates microrefugia for forest organisms under global warming, remain less well understood. To fill this research gap, we combined a three-layered (i.e., canopy, forest air space and understory soil) land surface energy balance model and Intrinsic Biophysical Mechanism Model and quantify seasonal (warm minus cool seasons) and long-term changes (later minus former periods) in the biophysical effects of forest dynamics on understory air temperature (ΔT a) and soil surface temperature (ΔT s). We found that high latitudes forests show strongest negative seasonal variations in both ΔT a and ΔT s, followed by moderate latitudes forests. In contrast, low latitudes forests exhibit positive seasonal variations in ΔT a and weak negative seasonal variations in ΔT s. For the long-term variations, ΔT s increases systematically at all three latitudes. However, the situation differs greatly for ΔT s, with a weak increase at low and moderate latitudes, but a slight decrease at high latitudes. Overall, changes in sensible and latent heat fluxes induced by forest dynamics (such as leaf area index), by altering the aerodynamic resistances of canopy and soil surface layers, are the main factors driving changes in forest microclimate effects. In addition, this study also develops an aerodynamic resistance coefficient $${f}_{{\rm{r}}}^{1}$$ f r 1 to combine the air temperature effects and surface soil temperature effects and proposes an indicator – ΔT Su, that is, $$\Delta {T}_{{\rm{Su}}}=\Delta {T}_{{\rm{s}}}+(\frac{1}{{f}_{{\rm{r}}}^{1}}-1)\Delta {T}_{{\rm{a}}}$$ Δ T Su = Δ T s + ( 1 f r 1 − 1 ) Δ T a , as a possible benchmark for evaluating the total biophysical effects of forests on temperatures.
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- 2023
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33. China's Global Influence: A Survey through the Lens of International Trade
- Author
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Chaoqun Zhan and Larry D. Qiu
- Subjects
Economics and Econometrics ,business.industry ,050204 development studies ,05 social sciences ,Sustained growth ,International trade ,Chinese people ,Through-the-lens metering ,0502 economics and business ,Development economics ,Economics ,050207 economics ,business ,China - Abstract
One of the most impressive changes in the global economy in the past half-century has been China's high and sustained growth and its integration into the global economy. This phenomenal change not only brings huge benefits to the Chinese people, but also exerts a tremendous influence on the rest of the world. How large is China's influence on the global economy? How are various countries/regions affected differently? How are various industries in a country affected differently? Answering these questions is not simple. In this paper, we review the recent literature that attempts to answer these questions. The findings of the survey conducted in this study aim to provide a complete picture of China's global influence and to identify issues that require further analysis.
- Published
- 2016
34. Enhanced Low-Energy Chemical Oxygen Demand (COD) Removal in Aeration-Free Conditions through Pulse-Rotating Bio-Contactors Enriched with Glycogen-Accumulating Organisms
- Author
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Liang Cheng, Guihuan Deng, Chaoqun Zhang, Yao Yang, Abdallah Abdelfattah, Reham Eltawab, and Hui Jia
- Subjects
biofilm microbial structure ,glycogen accumulating organisms (GAOs) ,pulse-rotating biological contactor (P-RBC) ,polyhydroxyalkanoates (PHAs) ,Hydraulic engineering ,TC1-978 ,Water supply for domestic and industrial purposes ,TD201-500 - Abstract
This study presents an innovative pulse-rotating biological contactor (P-RBC) designed to enrich glycogen-accumulating organisms (GAOs), thereby facilitating low-energy chemical oxygen demand (COD) removal. It then investigates the impact of rotational speed and hydraulic retention time (HRT) on GAO enrichment and COD removal efficiency. Optimized conditions at lower speeds and longer HRTs significantly enhance GAO proliferation and Polyhydroxyalkanoate (PHA) synthesis, the key to COD removal. Noteworthy findings include a maximum GAO abundance of 21.34% at a half round per hour (rph) rotating speed, which correlates with a 90.2% COD removal rate and an HRT of 6 h, yielding a 21.23% GAO abundance and 89.8% COD removal. This study also explores various carbon sources for PHA synthesis, with sodium acetate proving the most effective. Compared to other wastewater treatment methods, P-RBC demonstrates minimal energy consumption (0.09 kWh per ton of wastewater), highlighting its potential as a sustainable and effective approach for wastewater treatment.
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- 2024
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35. Effects of Interlayer on the Microstructure and Mechanical Properties of Resistance Spot Welded Titanium/Steel Joints: A Short Review
- Author
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Yibo Liu and Chaoqun Zhang
- Subjects
titanium/steel dissimilar welding ,resistance spot welding ,interlayer ,Mining engineering. Metallurgy ,TN1-997 - Abstract
In this paper, the influence of interlayer on titanium/steel dissimilar metal resistance spot welding is reviewed from the aspects of macroscopic characteristics, microstructure and interface bonding properties of the joint. Previous studies have demonstrated that TiC, FeTi and Fe2Ti intermetallic compounds with high brittleness are formed in the joint during titanium/steel welding, which reduces the strength of the welded joint. Researchers proposed different interlayer materials, including Cu, Ni, Nb, Ta, 60%Ni-Cu alloy and BAg45CuZn. Firstly, adding an interlayer can weaken the diffusion of Fe and Ti. Secondly, the interlayer elements can combine with Fe or Ti to form solid solutions or intermetallic compounds with lower brittleness than Fe–Ti compounds. Finally, Cu, Ni, Ag, etc. with excellent ductility can effectively decrease the generation of internal stress, which reduces the formation of defects to improve the strength of the joint.
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- 2024
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36. H-infinity Variable-Pitch Control for Wind Turbines Based on Takagi-Sugeno Fuzzy Theory
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Shengsheng Qin, Sze Song Ngu, Chaoqun Zhang, Hui Cai, Yujian Chen, Ruiqi Chen, and Tingxuan Liu
- Subjects
H-infinity (H∞) ,pitch control ,Takagi-Sugeno (T-S) fuzzy theory ,wind speed model ,wind turbine generator (WTG) ,Engineering (General). Civil engineering (General) ,TA1-2040 - Abstract
When the wind speed is above the rated value, the output power of the wind turbine should be maintained at the rated value in order to prevent the power generation system from overheating. In addition, the natural wind speed will fluctuate randomly in a large range of values, making the traditional control effect not ideal. This paper presents a novel H-infinity (H∞) pitch control strategy for Wind Turbine Generators (WTGs), which can make the rotor speed and output power constant when the wind speed changes in a large range. In order to shorten response time and reduce overshoot, in the specific solution, the control method combines the H∞ theory and the Takagi-Sugeno (T-S) fuzzy theory. Firstly, the linearized models of several operating points were obtained with the T-S fuzzy theory. Then, a robust controller was designed for each linear sub-system based on the H∞ control theory. Furthermore, the controllers of the sub-systems were superimposed into a global controller for the entire system through the membership function. Finally, modeling and simulation were carried out in MATLAB/SIMULINK. The simulation results show that when the wind speed changes above the rated speed, the rotor speed can be maintained at the rated value, and the output power also can be maintained at the rated value. Compared with the optimal control, the response speed of this method is faster and the overshoot is smaller. It provides a new idea for the pitch angle control of wind turbine.
- Published
- 2023
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37. Which Sectors Really Matter for a Resilient Chinese Economy? A Structural Decomposition Analysis
- Author
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Roger C.K. Chan, Chaoqun Zhan, and Xin Mai
- Subjects
media_common.quotation_subject ,lcsh:TJ807-830 ,Geography, Planning and Development ,lcsh:Renewable energy sources ,0211 other engineering and technologies ,0507 social and economic geography ,urbanization ,Real estate ,02 engineering and technology ,Management, Monitoring, Policy and Law ,economic resilience ,Economics ,China ,Resilience (network) ,lcsh:Environmental sciences ,Financial services ,media_common ,lcsh:GE1-350 ,Renewable Energy, Sustainability and the Environment ,business.industry ,lcsh:Environmental effects of industries and plants ,Economic sector ,05 social sciences ,021107 urban & regional planning ,Shock (economics) ,lcsh:TD194-195 ,sectoral effect ,Secondary sector of the economy ,time-series analysis ,Prosperity ,Economic system ,china ,business ,050703 geography - Abstract
This study explores the structural effect of economic resilience with a case of China by examining the extent to which the major economic sectors contribute to the relative resilience of China&rsquo, s overall economy. By applying a time series analysis, we use the Hodrick&ndash, Prescott filter to delineate China&rsquo, s national economy on a quarterly basis and reveal different performances in responding to two recent economic crises in 1997 and 2008. Using quarterly data pertaining to eight economic sectors (including agriculture, industry, and major service sectors) and the national GDP from 1993Q1 to 2017Q2, we examine their effects on China&rsquo, s economic resilience by simulating the responses of the national economy to a unit shock from each sector. Results show that the construction, real estate, and financial services have the greatest potential to &ldquo, disturb&rdquo, the national economy whereas the industrial sector has the greatest potential to &ldquo, stabilize&rdquo, it. The findings correspond with the understanding that extensive infrastructure development and the real estate boom have driven China&rsquo, s rapid urban development and created economic prosperity, whereas the sectoral decomposition of economic resilience compels a critical reflection on the risks of this growth model.
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- 2019
38. PE-SERF: A sensitivity-improved experiment to measure JHH in crowded spectra
- Author
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Yanqin Lin, Zhong Chen, Chaoqun Zhan, Chen Jinyong, and Qing Zeng
- Subjects
Coupling constant ,Physics ,Nuclear and High Energy Physics ,Proton ,Slice thickness ,Bandwidth (signal processing) ,Biophysics ,010402 general chemistry ,Condensed Matter Physics ,01 natural sciences ,Biochemistry ,Molecular physics ,Spectral line ,030218 nuclear medicine & medical imaging ,0104 chemical sciences ,03 medical and health sciences ,0302 clinical medicine ,Spectral sensitivity ,Molecule ,Wafer - Abstract
Aiming at facilitating the analysis of molecular structure, the gradient-encoded selective refocusing methods (G-SERF) and a great number of its variants for measuring proton-proton coupling constants have been proposed. However, the sensitivity is an issue in the 2D gradient-encoded experiments, because the signal intensity is determined by the slice thickness of the sample that depends on encoding gradient and the bandwidth of selective pulses which is limited by the smallest chemical shift difference of any two coupled protons. Here, we present a method dubbed PE-SERF (perfect echo selective refocusing) which can determine all JHH values involving a selected proton with improved sensitivity compared to original G-SERF experiment. The modules of perfect echo involving selective pulses and gradient-encoded selective refocusing are combined in the method, so that the unwanted J couplings arising from coupled spin pairs in the same sample slice would be nullified. In this way, instead of single proton, a pair of coupled protons is allowed to share a sample slice, and thus the slice thickness can be increased and the spectral sensitivity can be improved. The performance of the method is demonstrated by experiments on quinine and strychnine.
- Published
- 2019
39. Trade liberalization and domestic vertical integration: Evidence from China
- Author
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Larry D. Qiu, Chaoqun Zhan, and Qing Liu
- Subjects
Upstream (petroleum industry) ,Economics and Econometrics ,business.industry ,Tariff ,International economics ,Investment (macroeconomics) ,Vertical integration ,Accession ,Outsourcing ,Economics ,business ,Free trade ,Finance ,Downstream (petroleum industry) - Abstract
In this study we examine the effects of trade liberalization on domestic backward vertical integration in which a domestic upstream firm (target) is acquired by a domestic downstream firm. We first build a relationship-specific investment model to guide and provide insights to our empirical work. Then we take China's accession to the WTO as a quasi-natural experiment for trade liberalization to test the theoretical predictions. Consistent with the model, we find that a decrease in tariffs on the target industry's outputs reduces vertical integrations, but a decrease in tariffs on the target industry's inputs increases vertical integrations. The findings are robust to various specifications of the empirical model and measurements of the variables. We further show that underinvestment problem is an important mechanism to understanding the effects of tariff reductions on firms' organizational choices.
- Published
- 2019
40. The clinical application of customized 3D-printed porous tantalum scaffolds combined with Masquelet’s induced membrane technique to reconstruct infective segmental femoral defect
- Author
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Yipeng Wu, Xiangwen Shi, Shaoneng Zi, Mingjun Li, Suli Chen, Chaoqun Zhang, and Yongqing Xu
- Subjects
3D printed ,Tantalum ,Prosthesis ,Scaffolds ,Infection ,Bone graft ,Orthopedic surgery ,RD701-811 ,Diseases of the musculoskeletal system ,RC925-935 - Abstract
Abstract Purpose This study mainly exams a novel treatment for infective segmental femoral defect, and we combined the 3D printed porous tantalum prosthesis and Masquelet’s induce membrane technique to reconstruct bone defect and discussed the clinical effect. Method The clinical research included 9 observational cases series, as a permanently implantation, the customized 3D-printed scaffolds that connected with an anatomical plate was implanted into the bone defect segment after successful formation of induced membrane, the clinical effect was evaluated by radiological exams and Paley’s bone union criteria. Result The personalized 3D-printed porous tantalum was, respectively, manufactured and used in 9 consecutive patients to reconstruct the infective segmental bone defect of femur, the mean defect length was 16.1 ± 2.8 cm, the mean length of follow-up was 16.9 ± 4.0 months, after 2 stage operation, there was no deep infections, refractures, sensorimotor disorder, vascular injury, ankylosis and recurrence of infection occurred in all cases. postoperative radiological exams shown stable internal fixation and osseointegration, and all these results were invariable during the follow-up time in all cases. All patients significantly obtained deformity correction and length of limb. Conclusion The customized 3D-printed porous tantalum prosthesis was an acceptable alternative treatment to the autogenous or allograft bone graft, the combination of the two techniques could achieve satisfactory reconstruct to infective broad bone defect in femur when other biological techniques were not suitable.
- Published
- 2022
- Full Text
- View/download PDF
41. Deep Learning-Based Automatic Defect Detection of Additive Manufactured Stainless Steel
- Author
-
Md Hasib Zubayer, Chaoqun Zhang, and Yafei Wang
- Subjects
deep learning ,defect detection ,crack ,porosity ,metal additive manufacturing ,Mining engineering. Metallurgy ,TN1-997 - Abstract
Accumulating interest from academia and industry, the part of quality assurance in metal additive manufacturing (AM) is achieving incremental recognition owing to its distinct advantages over conventional manufacturing methods. In this paper, we introduced a convolutional neural network, YOLOv8 approach toward robust metallographic image quality inspection. Metallographic images accommodate key information relating to metal properties, such as structural strength, ductility, toughness, and defects, which are employed to select suitable materials for multiple engineering execution. Therefore, by comprehending the microstructures, one can understand insights into the behavior of a metal component and make predictive assessments of failure under specific conditions. Deep learning-based image segmentation is a robust technique for the detection of microstructural defects like cracks, inclusion, and gas porosity. Therefore, we improvise the YOLOv8 with dilated convolution mechanisms to acquire automatic micro-structure defect characterization. More specifically, for the first time, the YOLOv8 algorithm was proposed in the metallography dataset from additive manufacturing of steels (Metal DAM) to identify defects like cracks and porosity as a novel approach. A total of 414 images from ArcelorMittal engineers were used as an open-access database. The experimental results demonstrated that the YOLOv8 model successfully detected and identified cracks and porosity in the metal AM dataset, achieving an improved defect detection accuracy of up to 96% within just 0.5 h compared to previous automatic defect recognition processes.
- Published
- 2023
- Full Text
- View/download PDF
42. Left atrial epicardial adipose tissue is closely associated with left atrial appendage flow velocity in patients with nonvalvular atrial fibrillation
- Author
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Yameng Shao, Lei Chen, Changjiang Xu, Beibei Gao, Dongdong Zhang, Chuanyi Sang, and Chaoqun Zhang
- Subjects
Medicine ,Science - Abstract
Abstract Epicardial adipose tissue (EAT) can play an important role in the occurrence and development of atrial fibrillation and stroke. In this study, we explored the relationship between left atrial epicardial adipose tissue (LA-EAT) and left atrial appendage flow velocity (LAA-FV) in patients with nonvalvular atrial fibrillation (NV-AF). A total of 145 patients with NV-AF who underwent their first radiofrequency ablation were enrolled. They underwent left aortopulmonary vein computed tomography angiography (CTA) and transesophageal echocardiography (TEE) before AF ablation. Left atrial (LA) electroanatomical mapping was performed intraoperatively to assess left atrial voltage. Univariate regression analysis showed that LAA-FV was lower in patients with a low voltage zone (LAA-FV; 35.02 ± 10.78 cm/s vs. 50.60 ± 12.17 cm/s, P
- Published
- 2022
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- View/download PDF
43. Effects of different botanical oil meal mixed with cow manure organic fertilizers on soil microbial community and function and tobacco yield and quality
- Author
-
Yuxuan Chen, Xiaolin Lv, Yanmin Qin, Deping Zhang, Chaoqun Zhang, Zhanfeng Song, Dongyang Liu, Lianqiang Jiang, Bin Huang, and Jie Wang
- Subjects
cow manure ,botanical oil meal ,soil microorganism ,community structure ,function prediction ,Microbiology ,QR1-502 - Abstract
IntroductionThe continuous application of cow manure in soil for many years leads to the accumulation of heavy metals, pathogenic microorganisms, and antibiotic resistance genes. Therefore, in recent years, cow manure has often been mixed with botanical oil meal as organic fertilizer applied to farmland to improve soil and crop quality. However, the effects of various botanical oil meal and cow manure mixed organic fertilizers on soil microbial composition, community structure, and function, tobacco yield, and quality remain unclear.MethodsTherefore, we prepared organic manure via solid fermentation by mixing cow manure with different oil meals (soybean meal, rape meal, peanut bran, sesame meal). Then, we studied its effects on soil microbial community structure and function, physicochemical properties, enzyme activities, tobacco yield and quality; then we analyzed the correlations between these factors.Results and discussionCompared with cow manure alone, the four kinds of mixed botanical oil meal and cow manure improved the yield and quality of flue-cured tobacco to different degrees. Peanut bran, which significantly improved the soil available phosphorus, available potassium, and NO3–-N, was the best addition. Compared with cow manure alone, soil fungal diversity was significantly decreased when rape meal or peanut bran was combined with cow manure, while soil bacterial and fungal abundance was significantly increased when rape meal was added compared with soybean meal or peanut bran. The addition of different botanical oil meals significantly enriched the subgroup_7 and Spingomonas bacteria and Chaetomium and Penicillium fungi in the soil. The relative abundances of functional genes of xenobiotics biodegradation and metabolism, soil endophytic fungi, and wood saprotroph functional groups increased. In addition, alkaline phosphatase had the greatest effect on soil microorganisms, while NO3–-N had the least effect on soil microorganisms. In conclusion, the mixed application of cow manure and botanical oil meal increased the available phosphorus and potassium contents in soil; enriched beneficial microorganisms; promoted the metabolic function of soil microorganisms; increased the yield and quality of tobacco; and improved the soil microecology.
- Published
- 2023
- Full Text
- View/download PDF
44. Deformation and fracture behavior in TRIP steels under static and dynamic tensile conditions
- Author
-
Jialei Dai, Jun Yuan, Zixuan Yang, Chaoqun Zhang, Hao Zhang, and Shuqin Yu
- Subjects
Q&P1180 steel ,TRIP effect ,Strain concentration ,Fracture behavior ,Mining engineering. Metallurgy ,TN1-997 - Abstract
The present study sought to explore the deformation and fracture behavior of Quenching and Partitioning (Q&P) steel at five different strain rates (10−4 s−1, 1 s−1, 10 s−1, 100 s−1 and 1400 s−1). Tensile tests were carried out on Q&P steel at different strain rates, and the deformation and fracture behaviors were explored through digital image correlation (DIC) and scanning electron microscope (SEM). The results indicated that the strength and plasticity of Q&P steel had significant strain rate sensitivity. The yield strength and ultimate strength increases continuously, whereas the elongation first decreased and then increased with increase in strain rate. The dimples gradually became smaller and flatter with increase in strain rate. The dislocation density increased when strain rate was above 100 s−1, indicating that resistance to dislocation slip increases and the slip distance becomes shorter at high strain rates, which inhibits generation of large deformation. The local plastic strain at the fracture significantly decreased from 0.7 to 0.3, resulting in partial brittle fracture characteristics in fracture morphology. These findings provide a basis for further elucidating the deformability and fracture behavior of Q&P steel at different strain rates.
- Published
- 2022
- Full Text
- View/download PDF
45. Effectiveness of cellulose polyanionic-based polymers on the measurement of rheological properties of water-based drilling fluids in high-pressure high-temperature fractured shale reservoirs
- Author
-
Zhikun Liu, Chaoqun Zhang, Qi Li, Afshin Davarpanah, and Ahmed Sayed M. Metwally
- Subjects
Formate fluids ,Shale recovery ,Rheological properties ,Thermal stability ,Water supply for domestic and industrial purposes ,TD201-500 - Abstract
Abstract High-pressure, high-temperature fractured shale reservoirs are types of unconventional reservoirs that need proper drilling operations for adequate efficiency. Proper measurement of drilling fluid’s rheological properties is of importance for drilling operations that may increase the penetration rate on the one hand with proper design. Therefore, the success of drilling operations strongly depends on the proper design of drilling fluids. In this paper, we experimentally investigated the effect of potassium and sodium formate fluid on the rheological properties of drilling fluid for fractured shale core samples. The yield point and apparent viscosity for muds consisted of cellulose polyanionic and cellulose polyanionic-ultralow polymers higher than base muds. It indicates the effect of formate salts in increasing thermal stability. In addition, in polymer-based muds, more amounts of formate salts have been used, indicating the low fluid loss volume. Consequently, the shale recovery rate for potassium formate fluids is higher than sodium formate fluid.
- Published
- 2022
- Full Text
- View/download PDF
46. Antibiotic-loaded calcium sulfate in clinical treatment of chronic osteomyelitis: a systematic review and meta-analysis
- Author
-
Xiangwen Shi, Yipeng Wu, Haonan Ni, Mingjun Li, Chaoqun Zhang, Baochuang Qi, Mingjie Wei, Teng Wang, and Yongqing Xu
- Subjects
Chronic osteomyelitis ,Calcium sulfate ,Tobramycin ,Gentamicin ,Vancomycin ,Meta-analysis ,Orthopedic surgery ,RD701-811 ,Diseases of the musculoskeletal system ,RC925-935 - Abstract
Abstract Background Present work was aimed to gather accessible evidence on the eradication rates and related postoperative complications of antibiotic-loaded calcium sulfate (CS) as an implant in the treatment of chronic osteomyelitis (COM). Methods Databases including PubMed, EMBASE, Medline, Ovid and Cochrane library were searched from their dates of initiation until November 2021. Two independent authors scrutinized the relevant studies based on the effectiveness of radical debridement combined with antibiotic-loaded CS for COM; data extraction and quality assessment of the Methodological Index for Non-Randomized Studies (MINORS) criteria were also performed by the authors. In addition, clinical efficacy mainly depended on the evaluation of eradication rates and complications, and all the extracted data are pooled and analyzed by STATA 16.0. Results A total of 16 studies with 917 patients (920 locations) were recruited, with an overall eradication rate of 92%. Moreover, the overall reoperation rate, overall refracture rate, overall delayed wound healing rate, and the rate of aseptic wound leakage were 9.0%, 2.0%, 20.0%, and 12.0%, respectively. Moreover, the choice of tobramycin-loaded CS or vancomycin combined with gentamicin-loaded CS did not affect the eradication rate, and the incidence of postoperative complications in COM patients (all $$P>0.05$$ P > 0.05 ). The general quality of the included studies was fair. Conclusions Our meta-analysis indicated that the overall eradication rate of COM treated with antibiotic-loaded CS was 92%. Delayed healing is the most common postoperative complication. The choice of tobramycin-loaded CS or vancomycin combined with gentamicin-loaded CS did not affect the eradication rate and the incidence of postoperative complications in COM patients.
- Published
- 2022
- Full Text
- View/download PDF
47. Enhancing the Performance of Perovskite Solar Cells by 4‐Chloro‐1,8‐Naphthalic Anhydride for Surface Passivation
- Author
-
Bonan Shi, Yuanrui Li, Fei Gao, Jiahui Li, Xuediao Cai, Chaoqun Zhang, Yuxin Wu, Chenrui Lu, Jungang Wang, and Shengzhong (Frank) Liu
- Subjects
4‐chloro‐1,8‐naphthalic anhydride ,efficiency ,organic molecule ,perovskite solar cells ,surface defect passivation ,Physics ,QC1-999 ,Technology - Abstract
Abstract On the surface and grain boundary of perovskite films there are large quantities defects, which leads to photogenerated carrier nonradiative recombination and degrades the performance of the perovskite solar cells (PSCs). Surface passivation can suppress the detrimental effects of defect and improve the performance of PSCs. Here, an organic molecule, 4‐chloro‐1,8‐naphthalic anhydride (ALS), is adopted to passivate the defects on the surface and grain boundary of (FAPbI3)0.95(MAPbBr3)0.05 perovskite films. The oxygen of carbonyl group in the ALS provides lone pair electron to the undercoordinated Pb2+ and passivated this defect. The ALS passivated perovskite films have lower trap state density and longer carrier lifetime. As a result, the photoelectric conversion efficiency (PCE) of the PSCs was improved from 21.52% to 23.72%. Furthermore, the ALS passivated PSC show good stability, and it could maintain 88% of its initial efficiency after 1200 h storage in ambient atmosphere without encapsulation.
- Published
- 2023
- Full Text
- View/download PDF
48. Left atrial appendage orifice area and morphology is closely associated with flow velocity in patients with nonvalvular atrial fibrillation
- Author
-
Lei Chen, Changjiang Xu, Wensu Chen, and Chaoqun Zhang
- Subjects
Atrial fibrillation ,Left atrial appendage orifice area ,Left atrial appendage mechanical function ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Abstract Background Thromboembolic events are the most serious complication of atrial fibrillation (AF), and the left atrial appendage (LAA) is the most important site of thrombosis in patients with AF. During the period of COVID-19, a non-invasive left atrial appendage detection method is particularly important in order to reduce the exposure of the virus. This study used CT three-dimensional reconstruction methods to explore the relationship between LAA morphology, LAA orifice area and its mechanical function in patients with non-valvular atrial fibrillation (NVAF). Methods A total of 81 consecutive patients with NVAF (36 cases of paroxysmal atrial fibrillation and 45 cases of persistent atrial fibrillation) who were planned to undergo catheter radiofrequency ablation were enrolled. All patients were examined by transthoracic echocardiography (TTE), TEE, and computed tomography angiography (CTA) before surgery. The LAA orifice area was obtained according to the images of CTA. According to the left atrial appendage morphology, it was divided into chicken wing type and non-chicken wing type. At the same time, TEE was performed to determine left atrial appendage flow velocity (LAAFV), and the relationship between the left atrial appendage orifice area and LAAFV was analyzed. Results The LAAFV in Non-chicken wing group was lower than that in Chicken wing group (36.2 ± 15.0 cm/s vs. 49.1 ± 22.0 cm/s, p-value
- Published
- 2021
- Full Text
- View/download PDF
49. Clinical significance of small molecule metabolites in the blood of patients with different types of liver injury
- Author
-
Hui Li, Yan Wang, Shizhao Ma, Chaoqun Zhang, Hua Liu, and Dianxing Sun
- Subjects
Medicine ,Science - Abstract
Abstract To understand the characteristic of changes of serum metabolites between healthy people and patients with hepatitis B virus (HBV) infection at different stages of disease, and to provide reference metabolomics information for clinical diagnosis of liver disease patients. 255 patients with different stages of HBV infection were selected. 3 mL blood was collected from each patient in the morning to detect differences in serum lysophosphatidylcholine, acetyl-l-carnitine, oleic acid amide, and glycocholic acid concentrations by UFLC-IT-TOF/MS. The diagnostic values of four metabolic substances were evaluated by receiver operating characteristic (ROC) curve. The results showed that the optimal cut-off value of oleic acid amide concentration of the liver cirrhosis and HCC groups was 23.6 mg/L, with a diagnostic sensitivity of 88.9% and specificity of 70.6%. The diagnostic efficacies of the three substances were similar in the hepatitis and HCC groups, with an optimal cut-off value of 2.04 mg/L, and a diagnostic sensitivity and specificity of 100% and 47.2%, respectively. The optimal cut-off value of lecithin of the HBV-carrier and HCC groups was 132.85 mg/L, with a diagnostic sensitivity and specificity of 88.9% and 66.7%, respectively. The optimal cut-off value of oleic acid amide of the healthy and HCC groups was 129.03 mg/L, with a diagnostic sensitivity and specificity of 88.4% and 83.3%, respectively. Lysophosphatidylcholine, acetyl-l-carnitine, and oleic acid amide were potential metabolic markers of HCC. Among them, lysophosphatidylcholine was low in the blood of HCC patients, and its diagnostic efficacy was better than that of acetyl-l-carnitine and oleic acid amide, providing reference metabolomics information in clinical diagnosis and future research.
- Published
- 2021
- Full Text
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50. Left atrial epicardial adipose tissue is associated with low voltage zones in the left atrium in patients with non-valvular atrial fibrillation
- Author
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Yameng Shao, Lei Chen, Wensu Chen, Chuanyi Sang, Changjiang Xu, and Chaoqun Zhang
- Subjects
atrial fibrillation ,epicardial adipose tissue ,fibrosis ,low voltage zones ,radio frequency catheter ablation ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
ObjectiveEpicardial adipose tissue (EAT) is related to atrial fibrillation (AF), but the specific mechanism is still unclear. Left atrial (LA) low voltage zones (LVZ) can well reflect atrial fibrosis. This study investigated the relationship between EAT and LVZ in non-valvular AF (NVAF) patients.MethodsThis observational study including patients with NVAF (n = 214) undergoing radiofrequency ablation (RFCA) for the first time in our hospital and 62 matched controls. The EAT volume and attenuation were measured by contrast-enhanced computed tomography. A three-dimensional mapping system was used to map the left atrial endocardium and evaluate LA-LVZ. Patients were divided into LVZ and non-LVZ groups according to the presence or absence of LVZ.ResultsPatients with AF showed higher LA-EAT volume and lower attenuation value than controls (29.7 ± 11.2 cm3 vs. 20.9 ± 8.6 cm3, P = 0.021; −91.2 ± 5.6 HU vs. −88.7 ± 5.9 HU, P < 0.001). Compared with the group without LVZ, there were significant differences in age [65 (59–71) vs. 60 (52–69), P = 0.006], LAVI [75.1 ± 20.7 ml/m2 vs. 67.2 ± 20.9 ml/m2, P = 0.018], LA-EAT volume (34.8 ± 11.5 cm3 vs. 28.1 ± 10.6 cm3, P < 0.001) and LA-EAT attenuation (−93.9 ± 5.3 HU vs. −90.4 ± 5.5 HU, P < 0.001). Multivariate regression analysis showed that age (OR = 1.040; 95%CI: 1.001–1.078, P = 0.042), LAVI (OR = 1.019; 95%CI: 1.002–1.037, P = 0.032), LA-EAT volume (OR = 1.193; 95%CI: 1.015–1.402, P = 0.034) and attenuation value (OR = 0.801; 95%CI: 0.701–0.916 P = 0.001) were independent predictors of LVZ. After LA-EAT attenuation was incorporated into the clinical model, the comprehensive discrimination and net reclassification tended to improve (IDI and NRI > 0, P < 0.05).ConclusionLA-EAT volume and attenuation values can independently predict the presence of LVZ, and LA-EAT attenuation has a better predictive value than LA-EAT volume.
- Published
- 2022
- Full Text
- View/download PDF
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